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A Temporal Stability Method for Improving Video Restoration by Integrating Multiple Regularization Methods

A video recovery and stability technology, applied in image enhancement, instruments, biological neural network models, etc., can solve problems such as unsatisfactory time domain stability of restoration results, flickering of adjacent frames, etc., to improve time domain stability , the effect of improving the robustness of the algorithm

Active Publication Date: 2021-01-15
杭州微帧信息科技有限公司
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Problems solved by technology

[0003] The limitation of the current practice is that it is very common to use deep learning methods to reduce or eliminate the impact of degradation factors on image quality and improve image clarity, signal-to-noise ratio and resolution. The temporal stability is not very ideal, and adjacent frames often flicker. To solve this problem, it is necessary to incorporate prior information reflecting the true nature of the image and video into the restoration process, so as to constrain the restoration method. Find the final recovery result in a reasonable region around the true signal

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  • A Temporal Stability Method for Improving Video Restoration by Integrating Multiple Regularization Methods
  • A Temporal Stability Method for Improving Video Restoration by Integrating Multiple Regularization Methods
  • A Temporal Stability Method for Improving Video Restoration by Integrating Multiple Regularization Methods

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[0033] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. , the described embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments of this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] 1. If figure 2 As shown, add a micro-transform invariant regular term to the loss function of the CNN video restoration model:

[0036] (1) First, select a batch of high-definition images, and adjust these high-definition images, such as adding Gau...

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Abstract

The invention discloses a time-domain stability method for improving video restoration by integrating multiple regularization methods, and belongs to the technical field of video restoration. The method includes the following content: when using deep learning for video restoration, a common problem is that the images processed by a single frame are inconsistent in the time domain. robustness. Add the micro-transformation invariant regularization method, monochrome image regularization method, linear transformation consistent regularization method and secondary processing invariant loss regularization method to the CNN video restoration model, and optimize and adjust the loss function of the neural network through the above methods, A more robust video restoration model is obtained to solve the inconsistency problem in the temporal domain of single-frame processed images.

Description

technical field [0001] The present invention relates to the technical field of video restoration, in particular to a time-domain stability method for improving video restoration by integrating multiple regularization methods. Background technique [0002] In recent years, with the development of the Internet and the popularity of smart terminals, images and videos have become the most commonly used information carriers in human activities. However, in the process of image acquisition, transmission, storage and processing, it will always be affected by various degradation factors, resulting in the degradation of image quality, which has a great impact on subsequent image understanding and use. Therefore, in order to obtain high To improve the image quality, it is necessary to restore the video image to keep the integrity of the original information as much as possible. Therefore, video restoration has always been a hot spot in image processing and computer vision research. ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/50G06K9/62G06N3/04
CPCG06T5/50G06N3/045G06F18/214G06T5/00G06T5/70
Inventor 刘佳扬田超博刘宇新朱政
Owner 杭州微帧信息科技有限公司
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